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Chemical Process Performance Evaluation 1st Edition, by Ali Cinar, Ahmet Palazoglu, Ferhan Kayihan pdf

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Chemical Process Performance Evaluation "Chemical Industries Book 118" 1st Edition, by Ali Cinar, Ahmet Palazoglu, Ferhan Kayihan pdf.

Chemical Process Performance Evaluation 1st Edition, by Ali Cinar, Ahmet Palazoglu, Ferhan Kayihan


As the demand for profitability and competitiveness increases in the global marketplace, industrial manufacturing operations face a growing pressure to maintain safety, flexibility and environmental compliance. This is a result of pushing the operational boundaries to maximize productivity that may sometimes compromise the safe and rational operational practices. To minimize costly plant shut-downs and to diminish the probability of accidents and catastrophic events, an industrial plant is kept under close surveillance by computerized process supervision and control systems that collect data from process units and analyze the data to assess process status. Over the years, analysis and diagnosis methods have evolved from simple control charts to more sophisticated statistical techniques and signal processing capabilities. The goal of this book is to introduce the reader to the fundamentals and applications of a variety of process performance evaluation approaches, including process monitoring, controller performance monitoring and fault diagnosis. The material covered represents a culmination of decades of theoretical and practical research carried out by the authors and is based on the early notes that supported several short courses that the authors gave over the years. It is intended as advanced study material for graduate students and can be used as a textbook for undergraduate or graduate courses on process monitoring. By emphasizing the balance between the practice and the theory of statistical monitoring and fault diagnosis, it would also be an excellent reference for industrial practitioners, as well as a resource for training courses. 

The reader is expected to have a rudimentary knowledge of statistics and have an awareness of general monitoring and control concepts such as fault detection, diagnosis and feedback control. The book will be constructed upon these basic building blocks, introducing new concepts and techniques when necessary. The early chapters of the book present the reader with the use of multivariate statistics and various tools that one can use for process monitoring and diagnosis. This includes a chapter on empirical process modeling and another chapter on the modeling of process signals. In later chapters, several fault diagnosis methods and the means to discriminate between sensor faults and process upsets are discussed in detail. Then, the statistical modeling techniques are extended to the assessment of control performance. The book concludes with an extensive discussion on the use of data analysis techniques for the special case of web and sheet processes. Several case studies are included to demonstrate the implementation of the discussed methods and hopefully to motivate the readers to explore these ideas further in solving their own specific problems. The focus of this book is on continuous processes. However, there are a number of process applications, especially in pharmaceuticals and specialty chemicals, where the batch mode of operation is used. The monitoring of such processes has been discussed in detail in another book by Cinar et al. [41].


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